Electrodes Architectures for Dielectrophoretic-Based Cells Manipulation in LoCs: Modeling, Simulation and Experimental Results
Bibliographic record
Abstract
In this paper several electrodes architectures are modeled, implemented and compared in order to optimize the integration of hybrid micro-system for lab-on-a-chips (LoC). This study highlights the limitations of finite element simulations for a hybrid and complex micro-systems and propose new approach to overpass some fabrication constraints in a LoC design. The proposed LoC is based on dielectrophoresis for cell manipulation and capacitive sensing architecture. Particles used in this study has a diameter less than 10m which is close to the electrode dimensions. In this case conventional dielectrophoresis theory has some limitations. In order to handle particles in the range of micrometers, we describe four different electrode architectures which are the conventional square electrode array whose dimensions are 10m × 10m, the 10m width L-shaped electrode, the star-square electrode and the double side L-shaped electrodes. A comparison is presented at the end of the paper to highlight the advantages of each architecture.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".